State of Water Quality and its Management in India

Water ◽  
2006 ◽  
pp. 55-82
Author(s):  
R Trivedi
Keyword(s):  
2020 ◽  
Vol 81 (8) ◽  
pp. 1606-1614 ◽  
Author(s):  
M. S. Nyirenda ◽  
T. T. Tanyimboh

Abstract The use of water quality indices to aggregate pollution loads in rivers has been widely studied, with researchers using various sub-indices and aggregation methods. These have been used to combine various quality variables at a sampling point in a river into an overall water quality index to compare the state of water quality in different river reaches. Service reservoirs in a water distribution network, like rivers, have complex mixing mechanisms, are subjected to various water quality variables and are variably sized and sited. Water quality indices and the relevant sub-indices are formulated here and applied to service reservoirs within a water distribution network. This is in an attempt to compare holistically the performance of service reservoirs in solutions of optimisation algorithms with regards to water quality.


Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 735 ◽  
Author(s):  
Daniel Dunea ◽  
Petre Bretcan ◽  
Danut Tanislav ◽  
Gheorghe Serban ◽  
Razvan Teodorescu ◽  
...  

The paper reviews the state of water quality in Ialomita River Basin (IRB), Romania, between 2007 and 2018 using the land use/land cover and basin-specific conditions effects on sediments and nutrients load. On-site monitoring was performed in two control sections of the Ialomita River, one in the upper part of the basin (near Targoviste city) and the second near the discharge into the Danube (downstream of Tandarei town). The statistical averages of water parameters for 10 years’ monitoring in the control section that is close to the Ialomita River discharge in Danube were pH = 7.60 (range: 6.41–8.40), NH4-N = 1.20 mg/L (0.02–14.87), alkalinity = 4.12 mmol/L (1.34–6.27), NO3-N = 2.60 mg/L (0.08–17.30), PO4-P = 0.09 mg/L (0–0,31), dissolved oxygen (DO) = 8.87 mg/L (2.72–15.96), BOD5 = 5.50 mg/L (0.01–74.71), suspended solids (TSS) = 508.32 mg/L (15.2–4457), total dissolved salts (TDS) = 733.69 mg/L (455.2–1053), and river discharge = 38.60 m3/s (8.22–165). Expected mean concentration and soil and water assessment tool (SWAT) modeling have been employed in the GIS environment to extend the approach to large spatial patterns within the basin. The estimated average specific emission on the total area for nitrogen was 3.2 kg N/ha, and 0.3 kg P/ha for phosphorus highly influenced by the agricultural activities. The results are useful to raise awareness regarding water-quality degradation and the need to stop and even reverse such trends for local and national sustainable development.


Author(s):  
S.S. Zhugaylo ◽  
T.M. Avdeeva ◽  
M.N. Pugach ◽  
E.N. Adzhiumerov

Author(s):  
Faridah Mohd Razelan ◽  
Wardah Tahir ◽  
Nasehir Khan E.M Yahaya

Author(s):  
P. Lozovitskiy ◽  
А. Моlоchko

The fluctuation dynamics of average annual, average monthly and minimum annual discharges of the Guyva River for 1938–2010 years on the Horodkivka, Peski gauging Stations is given. Comparative results of chemical composition and water salinity in the Guyva river are given for the periods of 1967–2015. The article presents the results of environmental assessment of water quality on the criteria of components of the salt content pollution, environmental sanitation indexes and content of specific substances toxic effects. The water pollution index is calculated and the overall assessment of pollution is made by the whole set of indicators. Keywords: fluctuations in water consumption, chemical composition, mineralization, quality assessment, water pollution.


Author(s):  
Juichi KAMIYAMA ◽  
Syunya TOKUMARU ◽  
Shinya FUKUMOTO ◽  
Masayuki KASHIMA ◽  
Mutsumi WATANABE ◽  
...  

2012 ◽  
Vol 479-481 ◽  
pp. 1777-1780
Author(s):  
Shu Hong Cheng ◽  
Chun Hai Hu ◽  
Wei Tao Zhang

The fish motion essentially reflects the state of water quality, so it is necessary to study the methods of obtaining the real-time dynamic motion characters of fish body in the field of biological monitoring of water quality. From the point of view of the video, to extract the fish skeleton and to establish the motion model. Based on analysis of the motion model, it is easy to acquire some parameters, i. e. , fish swimming velocity and corner, tail dimensionality and so on. The experimental results show that our model can describe fish swimming, which lie a theory foundation for the fish to participate in the environment pollution research.


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